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EPSRC - London Mathematical Society Durham Symposium Mathematics of Data Assimilation Monday 1st August - Thursday 11th August 2011 Online formal talks Speaker Title PDF/PPT WMV Abarbanel Statistical Data Assimilation: Exact Formulation as a Path Integral and Approximations in Many Examples I Abarbanel Statistical Data Assimilation: Exact Formulation as a Path Integral and Approximations in Many Examples II Bannister A B-matrix for convective-scale variational data assimilation Bocquet Ensemble Kalman filtering without the intrinsic need for inflation Buehner The use of ensemble covariances within variational data assimilation for NWP Bunse Model order reduction in 4-DVar data assimilation Calvetti From steady state to kinetic predictions for brain cellular metabolism Chuter Modelling the carbon cycle - a dynamical systems approach Cullen 4D VAR in the presence of model error Delahaies 4DVAR for modelling the carbon cycle Desroziers Accelerating minimizations in ensemble variational assimilation Du Better data assimilation through gradient descent Farmer Local Bayesian priors for inverse problems Ghil Data assimilation: how we got here and where to next? Ghil Parameter estimation and some new application areas Gottwald Reduced stochastic climate models for data assimilation Gottwald Controlling overestimation in ensemble Kalman filters Harlim Numerical Strategies for Filtering Partially Observed Multiscale Dynamical Systems Kleeman Mechanisms for predictability variation Kleeman Targeted observation strategies for prediction improvement in non-linear and/or non-Gaussian regimes Kwasniok Deriving dynamical models from palaeoclimatic records using nonlinear Kalman filtering: estimation of parameters and noise levels Leeuwen Particle filters in high-dimensional systems 1 Leeuwen Particle filters in high-dimensional systems 2 Lorenc Issues in 4D-Var for NWP Majda Mathematical strategies for real time filtering of turbulent dynamical systems I Majda Mathematical strategies for real time filtering of turbulent dynamical systems II Majda Mathematical strategies for real time filtering of turbulent dynamical systems III Majda Mathematical strategies for real time filtering of turbulent dynamical systems IV McLaughlin The role of model dynamics in ensemble Kalman filter performance for chaotic systems Migliorini The equivalence between radiance and retrieval assimilation Nicholls Monte Carlo methods for model parameter estimation which are robust to errors in likelihood evaluation Nichols Ensemble data assimilation in the presence of switches Opper Variational approximations to inference in stochastic differential equations Purser Adaptive Anisotropic Covariance Operators; Construction, Normalization and Implementation in a Parallel Computing Environment Somersalo DA in cell biology I Somersalo DA in cell biology II Stuart Filtering for PDEs I Stuart Filtering for PDEs II Talagrand Assimilation in the Unstable Subspace Todling Use of observation residual statistics for estimating system (model!) error Tran Parameter estimation in complex biological systems Wilkinson Bayesian parameter and state estimation for partial observed Markov process models using particle MCMC Wojcik Proposal replicates for spatially clustered processes